def rawwordcloud(text, scale, width=150, height=80, POS=POS):
t = time.time()
tokenized = nltk.word_tokenize(text)
tokenized = nltk.pos_tag(tokenized)
text = []
for token in tokenized:
if token[1] in POS:
text.append(token[0])
text = ' '.join(text)
t = timing(t, "generating texts")
# Make wordcloud
wordcloud = WordCloud(
width=width, height=height, background_color='white',
stopwords=stopwords, scale=scale)\
.generate(text).to_array()
t = timing(t, "generating wordcloud")
# Make image
img = Image.fromarray(wordcloud.astype('uint8'))
timing(t, "generating image")
return img
